|institutional_affiliation = [http://www.buffalo.edu University at Buffalo]<br/>

|institutional_affiliation = [http://www.buffalo.edu University at Buffalo]<br/>

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|office_location =<br/>

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|office_location = 333 MFAC<br/>

|email = [mailto:forstall@buffalo.edu forstall@buffalo.edu]<br/>

|email = [mailto:forstall@buffalo.edu forstall@buffalo.edu]<br/>

|URI =<br/>

|URI =<br/>

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==Background==

==Background==

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I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS and remote sensing.

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I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS, remote sensing and digital image processing.

My free time is spent reading Lawrence Durrell and Flann O'Brien, caring for goats and chickens, and otherwise in general indolence.

My free time is spent reading Lawrence Durrell and Flann O'Brien, caring for goats and chickens, and otherwise in general indolence.

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My broad interest is in using computers to investigate intertextual patterns in poetry, particularly Classical Latin and Greek poetry.

My broad interest is in using computers to investigate intertextual patterns in poetry, particularly Classical Latin and Greek poetry.

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Currently I'm working with [http://vast.uccs.edu/wjs3 Dr. Walter Scheirer] of the University of Colorado at Colorado Springs to apply the tools of authorship attribution to Latin poetry. We examine patterns in bi-gram frequencies, noting variation by metrical form as well as by author.

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I'm the Tesserae Fellow for 2011-2012 at the Classics Department's [http://tesserae.caset.buffalo.edu Tesserae Project]. Led by [[user:Ncoffee|Neil Coffee]], Tesserae is a search engine designed to locate allusion in Latin poetry.

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I also work on the [http://tesserae.caset.buffalo.edu Tesserae Project], led by [[user:Ncoffee|Dr. Neil Coffee]], a search engine designed to locate allusion in Latin poetry.

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In my research at Tesserae I'm working with [http://vast.uccs.edu/wjs3 Walter Scheirer] of the University of Colorado at Colorado Springs to apply the tools of authorship attribution to influence detection. Our preferred feature sets are character and phoneme bi-gram frequencies; but we're also investigating new methods in metrical n-grams. For pattern matching and classification we have been working with support vector machines, and are just starting to test the power of one-class SVMs in open-set problems.

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My long-term project is an examination of the Homeric epos using authorship attribution methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intrapoem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).

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My long-term project is an examination of the Homeric epos using computer-based stylometric methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intra-poem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).

Background

I've spent time in both the sciences and the humanities. My primary interest is in what makes human beings produce poetry. I like to use text-processing tools like perl, sed and awk to solve problems, but I also have some experience with GIS, remote sensing and digital image processing.

My free time is spent reading Lawrence Durrell and Flann O'Brien, caring for goats and chickens, and otherwise in general indolence.

Digital interests

My broad interest is in using computers to investigate intertextual patterns in poetry, particularly Classical Latin and Greek poetry.

I'm the Tesserae Fellow for 2011-2012 at the Classics Department's Tesserae Project. Led by Neil Coffee, Tesserae is a search engine designed to locate allusion in Latin poetry.

In my research at Tesserae I'm working with Walter Scheirer of the University of Colorado at Colorado Springs to apply the tools of authorship attribution to influence detection. Our preferred feature sets are character and phoneme bi-gram frequencies; but we're also investigating new methods in metrical n-grams. For pattern matching and classification we have been working with support vector machines, and are just starting to test the power of one-class SVMs in open-set problems.

My long-term project is an examination of the Homeric epos using computer-based stylometric methods. I've compared the Iliad to the Odyssey using a feature sets composed of n-grams at the phoneme level and classification with machine learning techniques. I'd like to look more closely at each poem to try to pick apart intra-poem heterogeneity. My goal is to be able to tie quantifiable observations to current oral-formulaic theory (particularly theory from a cognitive angle).